A spa wants to determine which duration of its massage packages is the most popular. The spa has 30-minute, 50-minute, and 75-minute sessions. Which statistical measure should be used and is less affected by outliers and skewed data?
Mode is the statistical measure that is less affected by outliers and skewed data.
The mode represents the most frequently occurring value in a dataset, making it particularly useful for identifying the most popular duration of massage packages. Unlike other measures, the mode remains unchanged by extreme values or skewness, which can distort the results of other statistical calculations.
Standard deviation measures the spread of data points around the mean. It is highly sensitive to outliers, meaning that extreme values can significantly alter the standard deviation, leading to misleading conclusions about the data's variability. In this case, it does not effectively indicate the most popular package duration.
The mode is the most suitable measure for determining popularity in this scenario. It identifies the duration that is chosen most frequently by customers, regardless of any outlier durations. This characteristic makes it robust against skewness in the distribution of session lengths.
The mean calculates the average duration by summing all durations and dividing by the number of sessions. However, it can be heavily influenced by outliers, such as an unusually long or short massage session, which could skew the average and misrepresent the most popular choice.
The median is the middle value when data points are arranged in order. While it is less affected by outliers than the mean, it does not specifically identify the most frequently preferred duration. Instead, it provides a central value, which may not reflect the actual popularity of the massage packages.
To determine the most popular duration of massage packages, the mode is the most effective statistical measure, as it highlights the most frequently chosen duration without being influenced by outliers or skewness in the data. In contrast, the standard deviation, mean, and median may provide misleading insights due to their susceptibility to extreme values and variability.
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